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Manikandan Sundararaman Email & Phone Number
Full-Stack Developer (Applied ML)
at
ASU Social Embeddedness
LinkedIn matched
✓ Verified Jul 2026
3 data sources
Profile completeness 86%
Current company
Role
Full-Stack Developer (Applied ML)
Location
Tempe, Arizona, United States
Company size
Who is Manikandan Sundararaman? Overview
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Quick answer
Manikandan Sundararaman is listed as Full-Stack Developer (Applied ML) at ASU Social Embeddedness, a with 4 employees, based in Tempe, Arizona, United States. AeroLeads shows a matched LinkedIn profile for Manikandan Sundararaman.
Manikandan Sundararaman previously worked as Volunteer Research Assistant at Ira A. Fulton Schools Of Engineering At Arizona State University and R&D Analyst (Applied ML Software Developer) at Asu Social Embeddedness. Manikandan Sundararaman holds Master Of Science, Computer Science (Big Data Systems And Ml), 3.7/4.0 from Arizona State University.
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ASU Social Embeddedness
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Profile bio
About Manikandan Sundararaman
Results-driven Software Engineer specializing in Full-Stack Development and Machine Learning, with a proven track record in developing scalable applications and deploying machine learning solutions for impactful results. Pursuing a Master’s in Computer Science with a focus on Big Data and Machine Learning at Arizona State University, I bring hands-on experience in backend and frontend technologies, database management, and cloud computing. Proficient in tools and frameworks such as Go, React, Node.js, Python, and TensorFlow, I excel at designing and optimizing ETL pipelines, integrating APIs, and implementing advanced ML models for predictive analytics and recommendation systems. Known for enhancing system performance and user experiences, I am keen on leveraging my technical skills to drive data-driven solutions and innovations in dynamic, fast-paced environments.If you're looking for a Software Developer or a Machine Learning Engineer profile, I can most probably be a strong fit for what you're looking for.Personally, my passion lies in studying and interpreting Hindu Vedic Literature, with a particular focus on deciphering complex Sanskrit texts. I desire to bridge the gap between ancient wisdom and modern technical advancements in the long term, fostering a deeper appreciation and application of Vedic principles in our rapidly evolving society.
Current workplace
Manikandan Sundararaman's current company
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Asu Social Embeddedness
6 roles
Manikandan Sundararaman work experience
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Volunteer Research Assistant
Working as a Research Volunteer for Prof. Zhichao Cao at ASU - Intelligent Data Infrastructure Lab, contributing to ongoing research projects.Developing and enhancing caching algorithms for HBase and RocksDB.Optimizing systems for LLM Inferencing.
R&D Analyst (Applied Ml Software Developer)
❖ Led full-stack web development for the Collaboratory platform in Go and React, enhancing community engagement data by tracking activities through a graph database, reducing page load times by 25%, and enhancing the UI WCAG compliance from 60% to 95%.❖ Integrated ChatGPT APIs using Langchain, Weights & Biases to populate data, reducing activity creation time for data curators by 75%. Optimized ETL pipelines and designed multi-chained RAG systems to specialize data population and reasoning, enhancing accuracy.❖ Implementing backend code and devising Graph Convolutional Networks using TensorFlow GNNs to predict new collaborations, identify at-risk partnerships, and recommend new activities.
Software Developer
Advertising Intelligence (Ad Intel) – Developed and maintained features on the Pay-Per-Click (PPC) advertising reporting tool by managing statistics from ad sources. Integrated ad sources such as LinkedIn, Google Ad Manager, TikTok, Amazon, Meta and Microsoft Ads. Designed systems to store live data from ad source APIs, optimizing load times by 50% and code quality. Provided comprehensive design documentation in guiding new developers to build ad source integrations.CalendarHero App - Developed and maintained features for the automated meeting scheduling tool that books on Google and Outlook Calendars, through Zoom or Google Meet. Fixed issues and optimized code.
Mar 2023 - Dec 2023
Product Developer
CX (Customer Experience) – Developed new and maintained existing features in the end-to-end surveying platform enriching user experience for NPS (Net Promoter Score) type surveys.Integrations – Maintained codebase design patterns and feature experiences on third-party app integrations such as Zendesk, Hubspot, SurveySparrow Audience (internal), and Active Campaign.
May 2021 - Feb 2023
Intern
Learned the technical workflow of document publishing including pagination techniques, document indexing, and a bird's eye view of transitioning from document authors to publishers. Implemented crowdsourced voting for user feedback about document content.
May 2019 - Jun 2019
2 education records
Manikandan Sundararaman education
Master Of Science, Computer Science (Big Data Systems And Ml), 3.7/4.0
Bachelor Of Technology, Computer Science, 3.2/4.0
FAQ
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Quick answers generated from the profile data available on this page.
What company does Manikandan Sundararaman work for?
Manikandan Sundararaman works for ASU Social Embeddedness.
What is Manikandan Sundararaman's role at ASU Social Embeddedness?
Manikandan Sundararaman is listed as Full-Stack Developer (Applied ML) at ASU Social Embeddedness.
Where is Manikandan Sundararaman based?
Manikandan Sundararaman is based in Tempe, Arizona, United States while working with ASU Social Embeddedness.
What companies has Manikandan Sundararaman worked for?
Manikandan Sundararaman has worked for Asu Social Embeddedness, Ira A. Fulton Schools Of Engineering At Arizona State University, Vendasta, Surveysparrow, and Lumina Datamatics Limited.
How can I contact Manikandan Sundararaman?
You can use AeroLeads to view verified contact signals for Manikandan Sundararaman at ASU Social Embeddedness, including work email, phone, and LinkedIn data when available.
What schools did Manikandan Sundararaman attend?
Manikandan Sundararaman holds Master Of Science, Computer Science (Big Data Systems And Ml), 3.7/4.0 from Arizona State University.
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